Integrated monitoring and analysis for early warning of patient deterioration.
Br J Anaesth
; 97(1): 64-8, 2006 Jul.
Article
em En
| MEDLINE
| ID: mdl-16707529
ABSTRACT
Recently there has been an upsurge of interest in strategies for detecting at-risk patients in order to trigger the timely intervention of a Medical Emergency Team (MET), also known as a Rapid Response Team (RRT). We review a real-time automated system, BioSign, which tracks patient status by combining information from vital signs monitored non-invasively on the general ward. BioSign fuses the vital signs in order to produce a single-parameter representation of patient status, the Patient Status Index. The data fusion method adopted in BioSign is a probabilistic model of normality in five dimensions, previously learnt from the vital sign data acquired from a representative sample of patients. BioSign alerts occur either when a single vital sign deviates by close to +/-3 standard deviations from its normal value or when two or more vital signs depart from normality, but by a smaller amount. In a trial with high-risk elective/emergency surgery or medical patients, BioSign alerts were generated, on average, every 8 hours; 95% of these were classified as 'True' by clinical experts. Retrospective analysis has also shown that the data fusion algorithm in BioSign is capable of detecting critical events in advance of single-channel alerts.
Buscar no Google
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Indicadores Básicos de Saúde
/
Cuidados Críticos
/
Monitorização Fisiológica
Tipo de estudo:
Etiology_studies
/
Risk_factors_studies
Aspecto:
Determinantes_sociais_saude
/
Patient_preference
Limite:
Humans
Idioma:
En
Revista:
Br J Anaesth
Ano de publicação:
2006
Tipo de documento:
Article
País de afiliação:
Reino Unido